Overview

Dataset statistics

Number of variables244
Number of observations7239
Missing cells0
Missing cells (%)0.0%
Duplicate rows427
Duplicate rows (%)5.9%
Total size in memory6.9 MiB
Average record size in memory1000.0 B

Variable types

Numeric4
Categorical240

Alerts

Dataset has 427 (5.9%) duplicate rowsDuplicates
bath is highly overall correlated with bhk and 2 other fieldsHigh correlation
bhk is highly overall correlated with bath and 2 other fieldsHigh correlation
price is highly overall correlated with bath and 2 other fieldsHigh correlation
total_sqft is highly overall correlated with bath and 2 other fieldsHigh correlation
1st Block Jayanagar is highly imbalanced (98.9%)Imbalance
1st Phase JP Nagar is highly imbalanced (97.7%)Imbalance
2nd Phase Judicial Layout is highly imbalanced (98.8%)Imbalance
2nd Stage Nagarbhavi is highly imbalanced (99.3%)Imbalance
5th Block Hbr Layout is highly imbalanced (99.0%)Imbalance
5th Phase JP Nagar is highly imbalanced (96.8%)Imbalance
6th Phase JP Nagar is highly imbalanced (98.0%)Imbalance
7th Phase JP Nagar is highly imbalanced (90.7%)Imbalance
8th Phase JP Nagar is highly imbalanced (95.4%)Imbalance
9th Phase JP Nagar is highly imbalanced (96.5%)Imbalance
AECS Layout is highly imbalanced (98.9%)Imbalance
Abbigere is highly imbalanced (97.5%)Imbalance
Akshaya Nagar is highly imbalanced (94.8%)Imbalance
Ambalipura is highly imbalanced (97.7%)Imbalance
Ambedkar Nagar is highly imbalanced (96.6%)Imbalance
Amruthahalli is highly imbalanced (97.6%)Imbalance
Anandapura is highly imbalanced (97.6%)Imbalance
Ananth Nagar is highly imbalanced (96.7%)Imbalance
Anekal is highly imbalanced (97.1%)Imbalance
Anjanapura is highly imbalanced (98.2%)Imbalance
Ardendale is highly imbalanced (97.5%)Imbalance
Arekere is highly imbalanced (98.5%)Imbalance
Attibele is highly imbalanced (96.1%)Imbalance
BEML Layout is highly imbalanced (98.9%)Imbalance
BTM 2nd Stage is highly imbalanced (97.1%)Imbalance
BTM Layout is highly imbalanced (98.1%)Imbalance
Babusapalaya is highly imbalanced (97.9%)Imbalance
Badavala Nagar is highly imbalanced (98.6%)Imbalance
Balagere is highly imbalanced (96.3%)Imbalance
Banashankari is highly imbalanced (94.0%)Imbalance
Banashankari Stage II is highly imbalanced (98.1%)Imbalance
Banashankari Stage III is highly imbalanced (97.6%)Imbalance
Banashankari Stage V is highly imbalanced (98.4%)Imbalance
Banashankari Stage VI is highly imbalanced (98.5%)Imbalance
Banaswadi is highly imbalanced (98.2%)Imbalance
Banjara Layout is highly imbalanced (99.3%)Imbalance
Bannerghatta is highly imbalanced (98.8%)Imbalance
Bannerghatta Road is highly imbalanced (88.7%)Imbalance
Basavangudi is highly imbalanced (98.5%)Imbalance
Basaveshwara Nagar is highly imbalanced (98.6%)Imbalance
Battarahalli is highly imbalanced (97.7%)Imbalance
Begur is highly imbalanced (98.2%)Imbalance
Begur Road is highly imbalanced (94.0%)Imbalance
Bellandur is highly imbalanced (91.9%)Imbalance
Benson Town is highly imbalanced (98.8%)Imbalance
Bharathi Nagar is highly imbalanced (98.8%)Imbalance
Bhoganhalli is highly imbalanced (97.0%)Imbalance
Billekahalli is highly imbalanced (98.5%)Imbalance
Binny Pete is highly imbalanced (98.6%)Imbalance
Bisuvanahalli is highly imbalanced (95.9%)Imbalance
Bommanahalli is highly imbalanced (98.1%)Imbalance
Bommasandra is highly imbalanced (96.3%)Imbalance
Bommasandra Industrial Area is highly imbalanced (98.1%)Imbalance
Bommenahalli is highly imbalanced (98.6%)Imbalance
Brookefield is highly imbalanced (96.2%)Imbalance
Budigere is highly imbalanced (95.3%)Imbalance
CV Raman Nagar is highly imbalanced (96.9%)Imbalance
Chamrajpet is highly imbalanced (98.4%)Imbalance
Chandapura is highly imbalanced (93.0%)Imbalance
Channasandra is highly imbalanced (95.9%)Imbalance
Chikka Tirupathi is highly imbalanced (98.4%)Imbalance
Chikkabanavar is highly imbalanced (98.8%)Imbalance
Chikkalasandra is highly imbalanced (97.9%)Imbalance
Choodasandra is highly imbalanced (97.5%)Imbalance
Cooke Town is highly imbalanced (98.6%)Imbalance
Cox Town is highly imbalanced (98.6%)Imbalance
Cunningham Road is highly imbalanced (98.6%)Imbalance
Dasanapura is highly imbalanced (98.6%)Imbalance
Dasarahalli is highly imbalanced (98.9%)Imbalance
Devanahalli is highly imbalanced (96.7%)Imbalance
Devarachikkanahalli is highly imbalanced (98.1%)Imbalance
Dodda Nekkundi is highly imbalanced (96.7%)Imbalance
Doddaballapur is highly imbalanced (98.8%)Imbalance
Doddakallasandra is highly imbalanced (99.0%)Imbalance
Doddathoguru is highly imbalanced (97.0%)Imbalance
Domlur is highly imbalanced (97.3%)Imbalance
Dommasandra is highly imbalanced (98.5%)Imbalance
EPIP Zone is highly imbalanced (98.0%)Imbalance
Electronic City is highly imbalanced (84.5%)Imbalance
Electronic City Phase II is highly imbalanced (90.2%)Imbalance
Electronics City Phase 1 is highly imbalanced (94.9%)Imbalance
Frazer Town is highly imbalanced (96.7%)Imbalance
GM Palaya is highly imbalanced (98.8%)Imbalance
Garudachar Palya is highly imbalanced (98.0%)Imbalance
Giri Nagar is highly imbalanced (98.9%)Imbalance
Gollarapalya Hosahalli is highly imbalanced (98.5%)Imbalance
Gottigere is highly imbalanced (95.9%)Imbalance
Green Glen Layout is highly imbalanced (96.3%)Imbalance
Gubbalala is highly imbalanced (98.2%)Imbalance
Gunjur is highly imbalanced (97.4%)Imbalance
HAL 2nd Stage is highly imbalanced (99.3%)Imbalance
HBR Layout is highly imbalanced (98.1%)Imbalance
HRBR Layout is highly imbalanced (98.4%)Imbalance
HSR Layout is highly imbalanced (95.2%)Imbalance
Haralur Road is highly imbalanced (88.0%)Imbalance
Harlur is highly imbalanced (93.2%)Imbalance
Hebbal is highly imbalanced (89.3%)Imbalance
Hebbal Kempapura is highly imbalanced (97.1%)Imbalance
Hegde Nagar is highly imbalanced (95.7%)Imbalance
Hennur is highly imbalanced (94.9%)Imbalance
Hennur Road is highly imbalanced (88.8%)Imbalance
Hoodi is highly imbalanced (95.4%)Imbalance
Horamavu Agara is highly imbalanced (96.3%)Imbalance
Horamavu Banaswadi is highly imbalanced (97.1%)Imbalance
Hormavu is highly imbalanced (94.2%)Imbalance
Hosa Road is highly imbalanced (96.2%)Imbalance
Hosakerehalli is highly imbalanced (97.4%)Imbalance
Hoskote is highly imbalanced (98.0%)Imbalance
Hosur Road is highly imbalanced (97.1%)Imbalance
Hulimavu is highly imbalanced (95.2%)Imbalance
ISRO Layout is highly imbalanced (98.8%)Imbalance
ITPL is highly imbalanced (98.9%)Imbalance
Iblur Village is highly imbalanced (97.4%)Imbalance
Indira Nagar is highly imbalanced (96.0%)Imbalance
JP Nagar is highly imbalanced (95.6%)Imbalance
Jakkur is highly imbalanced (94.9%)Imbalance
Jalahalli is highly imbalanced (96.8%)Imbalance
Jalahalli East is highly imbalanced (98.9%)Imbalance
Jigani is highly imbalanced (96.6%)Imbalance
Judicial Layout is highly imbalanced (98.6%)Imbalance
KR Puram is highly imbalanced (92.8%)Imbalance
Kadubeesanahalli is highly imbalanced (98.5%)Imbalance
Kadugodi is highly imbalanced (96.6%)Imbalance
Kaggadasapura is highly imbalanced (95.3%)Imbalance
Kaggalipura is highly imbalanced (98.5%)Imbalance
Kaikondrahalli is highly imbalanced (98.4%)Imbalance
Kalena Agrahara is highly imbalanced (97.0%)Imbalance
Kalyan nagar is highly imbalanced (98.1%)Imbalance
Kambipura is highly imbalanced (97.7%)Imbalance
Kammanahalli is highly imbalanced (98.8%)Imbalance
Kammasandra is highly imbalanced (97.3%)Imbalance
Kanakapura is highly imbalanced (96.7%)Imbalance
Kanakpura Road is highly imbalanced (90.8%)Imbalance
Kannamangala is highly imbalanced (98.2%)Imbalance
Karuna Nagar is highly imbalanced (98.9%)Imbalance
Kasavanhalli is highly imbalanced (93.8%)Imbalance
Kasturi Nagar is highly imbalanced (98.5%)Imbalance
Kathriguppe is highly imbalanced (97.4%)Imbalance
Kaval Byrasandra is highly imbalanced (97.7%)Imbalance
Kenchenahalli is highly imbalanced (98.4%)Imbalance
Kengeri is highly imbalanced (95.8%)Imbalance
Kengeri Satellite Town is highly imbalanced (96.7%)Imbalance
Kereguddadahalli is highly imbalanced (98.5%)Imbalance
Kodichikkanahalli is highly imbalanced (97.7%)Imbalance
Kodigehaali is highly imbalanced (98.4%)Imbalance
Kodigehalli is highly imbalanced (99.0%)Imbalance
Kodihalli is highly imbalanced (98.6%)Imbalance
Kogilu is highly imbalanced (97.3%)Imbalance
Konanakunte is highly imbalanced (99.0%)Imbalance
Koramangala is highly imbalanced (95.3%)Imbalance
Kothannur is highly imbalanced (98.6%)Imbalance
Kothanur is highly imbalanced (94.1%)Imbalance
Kudlu is highly imbalanced (96.9%)Imbalance
Kudlu Gate is highly imbalanced (96.5%)Imbalance
Kumaraswami Layout is highly imbalanced (98.1%)Imbalance
Kundalahalli is highly imbalanced (95.3%)Imbalance
LB Shastri Nagar is highly imbalanced (98.6%)Imbalance
Laggere is highly imbalanced (99.2%)Imbalance
Lakshminarayana Pura is highly imbalanced (96.8%)Imbalance
Lingadheeranahalli is highly imbalanced (97.5%)Imbalance
Magadi Road is highly imbalanced (98.1%)Imbalance
Mahadevpura is highly imbalanced (97.3%)Imbalance
Mahalakshmi Layout is highly imbalanced (99.2%)Imbalance
Mallasandra is highly imbalanced (98.2%)Imbalance
Malleshpalya is highly imbalanced (98.2%)Imbalance
Malleshwaram is highly imbalanced (95.4%)Imbalance
Marathahalli is highly imbalanced (88.2%)Imbalance
Margondanahalli is highly imbalanced (98.0%)Imbalance
Marsur is highly imbalanced (99.5%)Imbalance
Mico Layout is highly imbalanced (98.5%)Imbalance
Munnekollal is highly imbalanced (98.2%)Imbalance
Murugeshpalya is highly imbalanced (98.4%)Imbalance
Mysore Road is highly imbalanced (96.6%)Imbalance
NGR Layout is highly imbalanced (98.8%)Imbalance
NRI Layout is highly imbalanced (98.8%)Imbalance
Nagarbhavi is highly imbalanced (96.7%)Imbalance
Nagasandra is highly imbalanced (99.3%)Imbalance
Nagavara is highly imbalanced (98.4%)Imbalance
Nagavarapalya is highly imbalanced (98.8%)Imbalance
Narayanapura is highly imbalanced (98.8%)Imbalance
Neeladri Nagar is highly imbalanced (98.4%)Imbalance
Nehru Nagar is highly imbalanced (98.6%)Imbalance
OMBR Layout is highly imbalanced (98.4%)Imbalance
Old Airport Road is highly imbalanced (96.2%)Imbalance
Old Madras Road is highly imbalanced (96.5%)Imbalance
Padmanabhanagar is highly imbalanced (98.2%)Imbalance
Pai Layout is highly imbalanced (97.9%)Imbalance
Panathur is highly imbalanced (96.5%)Imbalance
Parappana Agrahara is highly imbalanced (97.9%)Imbalance
Pattandur Agrahara is highly imbalanced (98.8%)Imbalance
Poorna Pragna Layout is highly imbalanced (99.0%)Imbalance
Prithvi Layout is highly imbalanced (98.6%)Imbalance
R.T. Nagar is highly imbalanced (97.5%)Imbalance
Rachenahalli is highly imbalanced (96.5%)Imbalance
Raja Rajeshwari Nagar is highly imbalanced (86.2%)Imbalance
Rajaji Nagar is highly imbalanced (94.2%)Imbalance
Rajiv Nagar is highly imbalanced (98.5%)Imbalance
Ramagondanahalli is highly imbalanced (95.3%)Imbalance
Ramamurthy Nagar is highly imbalanced (95.0%)Imbalance
Rayasandra is highly imbalanced (97.7%)Imbalance
Sahakara Nagar is highly imbalanced (96.2%)Imbalance
Sanjay nagar is highly imbalanced (98.1%)Imbalance
Sarakki Nagar is highly imbalanced (98.9%)Imbalance
Sarjapur is highly imbalanced (93.4%)Imbalance
Sarjapur Road is highly imbalanced (82.8%)Imbalance
Sarjapura - Attibele Road is highly imbalanced (98.0%)Imbalance
Sector 2 HSR Layout is highly imbalanced (98.8%)Imbalance
Sector 7 HSR Layout is highly imbalanced (98.4%)Imbalance
Seegehalli is highly imbalanced (97.7%)Imbalance
Shampura is highly imbalanced (99.0%)Imbalance
Shivaji Nagar is highly imbalanced (99.0%)Imbalance
Singasandra is highly imbalanced (98.1%)Imbalance
Somasundara Palya is highly imbalanced (98.4%)Imbalance
Sompura is highly imbalanced (98.8%)Imbalance
Sonnenahalli is highly imbalanced (98.2%)Imbalance
Subramanyapura is highly imbalanced (97.0%)Imbalance
Sultan Palaya is highly imbalanced (98.6%)Imbalance
TC Palaya is highly imbalanced (96.8%)Imbalance
Talaghattapura is highly imbalanced (96.6%)Imbalance
Thanisandra is highly imbalanced (89.0%)Imbalance
Thigalarapalya is highly imbalanced (96.6%)Imbalance
Thubarahalli is highly imbalanced (98.0%)Imbalance
Tindlu is highly imbalanced (98.8%)Imbalance
Tumkur Road is highly imbalanced (97.3%)Imbalance
Ulsoor is highly imbalanced (98.2%)Imbalance
Uttarahalli is highly imbalanced (87.8%)Imbalance
Varthur is highly imbalanced (95.2%)Imbalance
Varthur Road is highly imbalanced (98.8%)Imbalance
Vasanthapura is highly imbalanced (98.9%)Imbalance
Vidyaranyapura is highly imbalanced (97.0%)Imbalance
Vijayanagar is highly imbalanced (96.2%)Imbalance
Vishveshwarya Layout is highly imbalanced (99.3%)Imbalance
Vishwapriya Layout is highly imbalanced (99.3%)Imbalance
Vittasandra is highly imbalanced (96.0%)Imbalance
Whitefield is highly imbalanced (79.1%)Imbalance
Yelachenahalli is highly imbalanced (98.4%)Imbalance
Yelahanka is highly imbalanced (90.7%)Imbalance
Yelahanka New Town is highly imbalanced (96.8%)Imbalance
Yelenahalli is highly imbalanced (98.8%)Imbalance
Yeshwanthpur is highly imbalanced (95.4%)Imbalance

Reproduction

Analysis started2024-05-04 13:09:01.689187
Analysis finished2024-05-04 13:11:16.058252
Duration2 minutes and 14.37 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

total_sqft
Real number (ℝ)

HIGH CORRELATION 

Distinct1500
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1470.6763
Minimum300
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size113.1 KiB
2024-05-04T18:41:16.189252image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile675
Q11092
median1255
Q31654.5
95-th percentile2830
Maximum30000
Range29700
Interquartile range (IQR)562.5

Descriptive statistics

Standard deviation815.32782
Coefficient of variation (CV)0.55438971
Kurtosis223.67656
Mean1470.6763
Median Absolute Deviation (MAD)240
Skewness8.557236
Sum10646226
Variance664759.45
MonotonicityNot monotonic
2024-05-04T18:41:16.376261image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1200 358
 
4.9%
1100 132
 
1.8%
1500 98
 
1.4%
1000 86
 
1.2%
2400 77
 
1.1%
1050 74
 
1.0%
1140 60
 
0.8%
1300 60
 
0.8%
1350 55
 
0.8%
1150 55
 
0.8%
Other values (1490) 6184
85.4%
ValueCountFrequency (%)
300 1
 
< 0.1%
350 1
 
< 0.1%
351 1
 
< 0.1%
360 2
 
< 0.1%
375 2
 
< 0.1%
395 1
 
< 0.1%
400 11
0.2%
410 5
0.1%
412.5 1
 
< 0.1%
416 4
 
0.1%
ValueCountFrequency (%)
30000 1
< 0.1%
12000 1
< 0.1%
11890 1
< 0.1%
10030 1
< 0.1%
10000 1
< 0.1%
9600 1
< 0.1%
7500 2
< 0.1%
7000 2
< 0.1%
6729 1
< 0.1%
6200 1
< 0.1%

bath
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4131786
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size113.1 KiB
2024-05-04T18:41:16.505252image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum16
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.93880033
Coefficient of variation (CV)0.3890306
Kurtosis14.544636
Mean2.4131786
Median Absolute Deviation (MAD)0
Skewness2.290442
Sum17469
Variance0.88134606
MonotonicityNot monotonic
2024-05-04T18:41:16.623251image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 4188
57.9%
3 1763
24.4%
1 568
 
7.8%
4 499
 
6.9%
5 155
 
2.1%
6 38
 
0.5%
7 10
 
0.1%
8 9
 
0.1%
9 6
 
0.1%
16 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
ValueCountFrequency (%)
1 568
 
7.8%
2 4188
57.9%
3 1763
24.4%
4 499
 
6.9%
5 155
 
2.1%
6 38
 
0.5%
7 10
 
0.1%
8 9
 
0.1%
9 6
 
0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
9 6
 
0.1%
8 9
 
0.1%
7 10
 
0.1%
6 38
 
0.5%
5 155
 
2.1%
4 499
 
6.9%
3 1763
24.4%

price
Real number (ℝ)

HIGH CORRELATION 

Distinct1238
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.546676
Minimum10
Maximum2200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size113.1 KiB
2024-05-04T18:41:16.780253image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile30
Q150
median72
Q3110
95-th percentile253.2
Maximum2200
Range2190
Interquartile range (IQR)60

Descriptive statistics

Standard deviation87.732734
Coefficient of variation (CV)0.90870798
Kurtosis97.440046
Mean96.546676
Median Absolute Deviation (MAD)26
Skewness6.2803318
Sum698901.39
Variance7697.0327
MonotonicityNot monotonic
2024-05-04T18:41:16.940252image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 198
 
2.7%
60 154
 
2.1%
65 150
 
2.1%
55 142
 
2.0%
70 132
 
1.8%
45 126
 
1.7%
50 126
 
1.7%
90 121
 
1.7%
110 117
 
1.6%
80 114
 
1.6%
Other values (1228) 5859
80.9%
ValueCountFrequency (%)
10 4
0.1%
10.25 2
< 0.1%
11 2
< 0.1%
11.5 4
0.1%
11.66 1
 
< 0.1%
12 4
0.1%
12.5 2
< 0.1%
13 2
< 0.1%
13.31 1
 
< 0.1%
13.5 2
< 0.1%
ValueCountFrequency (%)
2200 1
< 0.1%
2100 1
< 0.1%
1250 1
< 0.1%
900 2
< 0.1%
864 1
< 0.1%
800 2
< 0.1%
775 1
< 0.1%
763 1
< 0.1%
750 1
< 0.1%
720 1
< 0.1%

bhk
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4837685
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size113.1 KiB
2024-05-04T18:41:17.061256image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum16
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.90894079
Coefficient of variation (CV)0.3659523
Kurtosis16.906655
Mean2.4837685
Median Absolute Deviation (MAD)0
Skewness2.2852871
Sum17980
Variance0.82617336
MonotonicityNot monotonic
2024-05-04T18:41:17.155257image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 3626
50.1%
3 2460
34.0%
1 518
 
7.2%
4 497
 
6.9%
5 67
 
0.9%
6 39
 
0.5%
8 13
 
0.2%
7 9
 
0.1%
9 5
 
0.1%
11 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
1 518
 
7.2%
2 3626
50.1%
3 2460
34.0%
4 497
 
6.9%
5 67
 
0.9%
6 39
 
0.5%
7 9
 
0.1%
8 13
 
0.2%
9 5
 
0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
13 1
 
< 0.1%
11 2
 
< 0.1%
10 1
 
< 0.1%
9 5
 
0.1%
8 13
 
0.2%
7 9
 
0.1%
6 39
 
0.5%
5 67
 
0.9%
4 497
6.9%

1st Block Jayanagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:41:17.442255image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:17.534251image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

1st Phase JP Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7223 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Length

2024-05-04T18:41:17.633255image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:17.729255image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

2nd Phase Judicial Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:17.830071image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:17.929069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

2nd Stage Nagarbhavi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7235 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Length

2024-05-04T18:41:18.054069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:18.165069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

5th Block Hbr Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7233 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Length

2024-05-04T18:41:18.300069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:18.419068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

5th Phase JP Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7215 
1
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Length

2024-05-04T18:41:18.551068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:18.651068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

6th Phase JP Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7225 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Length

2024-05-04T18:41:18.763068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:18.877069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

7th Phase JP Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7153 
1
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Length

2024-05-04T18:41:18.987072image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:19.115068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Most occurring characters

ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

8th Phase JP Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7202 
1
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Length

2024-05-04T18:41:19.250068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:19.365067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

9th Phase JP Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7212 
1
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Length

2024-05-04T18:41:19.489072image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:19.629067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

AECS Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:41:19.776067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:19.895127image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Abbigere
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7221 
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Length

2024-05-04T18:41:20.013067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:20.114350image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Akshaya Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7196 
1
 
43

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7196
99.4%
1 43
 
0.6%

Length

2024-05-04T18:41:20.261357image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:20.398348image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7196
99.4%
1 43
 
0.6%

Most occurring characters

ValueCountFrequency (%)
0 7196
99.4%
1 43
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7196
99.4%
1 43
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7196
99.4%
1 43
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7196
99.4%
1 43
 
0.6%

Ambalipura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7223 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Length

2024-05-04T18:41:20.548349image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:20.674345image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Ambedkar Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7213 
1
 
26

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Length

2024-05-04T18:41:20.826344image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:20.958348image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Amruthahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7222 
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Length

2024-05-04T18:41:21.077601image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:21.179502image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Anandapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7222 
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Length

2024-05-04T18:41:21.309500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:21.407504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Ananth Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7214 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Length

2024-05-04T18:41:21.555504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:21.650757image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Anekal
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7218 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Length

2024-05-04T18:41:21.758999image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:21.857580image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Anjanapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:41:21.949962image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:22.053200image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Ardendale
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7221 
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Length

2024-05-04T18:41:22.174108image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:22.290112image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Arekere
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:22.395112image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:22.496112image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Attibele
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7209 
1
 
30

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7209
99.6%
1 30
 
0.4%

Length

2024-05-04T18:41:22.590115image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:22.673111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7209
99.6%
1 30
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7209
99.6%
1 30
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7209
99.6%
1 30
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7209
99.6%
1 30
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7209
99.6%
1 30
 
0.4%

BEML Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:41:22.760552image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:22.856556image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

BTM 2nd Stage
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7218 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Length

2024-05-04T18:41:22.953580image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:23.031579image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

BTM Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:23.124929image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:23.220930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Babusapalaya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7224 
1
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Length

2024-05-04T18:41:23.312933image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:23.399119image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Badavala Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:23.689418image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:23.785418image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Balagere
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7211 
1
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Length

2024-05-04T18:41:23.905417image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:24.018466image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Banashankari
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7189 
1
 
50

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7189
99.3%
1 50
 
0.7%

Length

2024-05-04T18:41:24.176417image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:24.366416image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7189
99.3%
1 50
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 7189
99.3%
1 50
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7189
99.3%
1 50
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7189
99.3%
1 50
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7189
99.3%
1 50
 
0.7%

Banashankari Stage II
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:24.593705image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:24.817420image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Banashankari Stage III
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7222 
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Length

2024-05-04T18:41:24.976714image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:25.156714image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7222
99.8%
1 17
 
0.2%

Banashankari Stage V
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:41:25.305718image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:25.479718image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Banashankari Stage VI
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:25.642227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:25.794533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Banaswadi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:41:25.977533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:26.109037image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Banjara Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7235 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Length

2024-05-04T18:41:26.254035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:26.367039image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Bannerghatta
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:26.546039image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:26.708035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Bannerghatta Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7130 
1
 
109

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7130
98.5%
1 109
 
1.5%

Length

2024-05-04T18:41:26.875034image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:27.007039image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7130
98.5%
1 109
 
1.5%

Most occurring characters

ValueCountFrequency (%)
0 7130
98.5%
1 109
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7130
98.5%
1 109
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7130
98.5%
1 109
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7130
98.5%
1 109
 
1.5%

Basavangudi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:27.147035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:27.273039image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Basaveshwara Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:27.414034image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:27.555037image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Battarahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7223 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Length

2024-05-04T18:41:27.728037image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:27.894033image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Begur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:41:28.052033image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:28.161033image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Begur Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7188 
1
 
51

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7188
99.3%
1 51
 
0.7%

Length

2024-05-04T18:41:28.268101image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:28.379032image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7188
99.3%
1 51
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 7188
99.3%
1 51
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7188
99.3%
1 51
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7188
99.3%
1 51
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7188
99.3%
1 51
 
0.7%

Bellandur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7166 
1
 
73

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7166
99.0%
1 73
 
1.0%

Length

2024-05-04T18:41:28.497036image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:28.592543image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7166
99.0%
1 73
 
1.0%

Most occurring characters

ValueCountFrequency (%)
0 7166
99.0%
1 73
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7166
99.0%
1 73
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7166
99.0%
1 73
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7166
99.0%
1 73
 
1.0%

Benson Town
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:28.690542image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:28.798538image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Bharathi Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:28.924539image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:29.026541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Bhoganhalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7217 
1
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Length

2024-05-04T18:41:29.142539image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:29.252541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Billekahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:29.378547image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:29.478081image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Binny Pete
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:29.592080image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:29.706084image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Bisuvanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7207 
1
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Length

2024-05-04T18:41:29.819085image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:29.929084image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Bommanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:30.034080image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:30.158560image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Bommasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7211 
1
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Length

2024-05-04T18:41:30.319558image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:30.426802image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Bommasandra Industrial Area
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:30.565802image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:30.691801image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Bommenahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:30.809806image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:30.918801image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Brookefield
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7210 
1
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Length

2024-05-04T18:41:31.020806image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:31.128872image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Budigere
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7201 
1
 
38

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Length

2024-05-04T18:41:31.227479image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:31.314527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

CV Raman Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7216 
1
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Length

2024-05-04T18:41:31.418527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:31.503533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Chamrajpet
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:41:31.600528image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:31.683531image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Chandapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7178 
1
 
61

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7178
99.2%
1 61
 
0.8%

Length

2024-05-04T18:41:31.781621image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:31.870621image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7178
99.2%
1 61
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0 7178
99.2%
1 61
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7178
99.2%
1 61
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7178
99.2%
1 61
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7178
99.2%
1 61
 
0.8%

Channasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7207 
1
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Length

2024-05-04T18:41:31.979243image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:32.061247image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Chikka Tirupathi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:41:32.165159image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:32.257370image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Chikkabanavar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:32.335972image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:32.661026image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Chikkalasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7224 
1
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Length

2024-05-04T18:41:32.745183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:32.831180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Choodasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7221 
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Length

2024-05-04T18:41:32.934182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:33.027188image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Cooke Town
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:33.110241image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:33.179485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Cox Town
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:33.273497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:33.338083image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Cunningham Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:33.416015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:33.508011image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Dasanapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:33.600011image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:33.720016image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Dasarahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:41:33.880072image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:34.068031image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Devanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7214 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Length

2024-05-04T18:41:34.281091image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:34.426013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Devarachikkanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:34.565059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:34.675015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Dodda Nekkundi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7214 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Length

2024-05-04T18:41:34.786010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:34.876009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Doddaballapur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:34.983013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:35.087022image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Doddakallasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7233 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Length

2024-05-04T18:41:35.238008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:35.329012image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Doddathoguru
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7217 
1
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Length

2024-05-04T18:41:35.447523image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:35.550527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Domlur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7219 
1
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Length

2024-05-04T18:41:35.668589image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:35.785522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Dommasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:35.906745image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:36.005749image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

EPIP Zone
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7225 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Length

2024-05-04T18:41:36.124308image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:36.212308image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Electronic City
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7077 
1
 
162

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7077
97.8%
1 162
 
2.2%

Length

2024-05-04T18:41:36.322312image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:36.416367image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7077
97.8%
1 162
 
2.2%

Most occurring characters

ValueCountFrequency (%)
0 7077
97.8%
1 162
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7077
97.8%
1 162
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7077
97.8%
1 162
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7077
97.8%
1 162
 
2.2%

Electronic City Phase II
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7147 
1
 
92

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7147
98.7%
1 92
 
1.3%

Length

2024-05-04T18:41:36.522312image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:36.619498image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7147
98.7%
1 92
 
1.3%

Most occurring characters

ValueCountFrequency (%)
0 7147
98.7%
1 92
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7147
98.7%
1 92
 
1.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7147
98.7%
1 92
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7147
98.7%
1 92
 
1.3%

Electronics City Phase 1
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7197 
1
 
42

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Length

2024-05-04T18:41:36.724502image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:36.837497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring characters

ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Frazer Town
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7214 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Length

2024-05-04T18:41:36.955497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:37.066501image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

GM Palaya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:37.185499image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:37.271497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Garudachar Palya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7225 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Length

2024-05-04T18:41:37.389500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:37.492557image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Giri Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:41:37.586501image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:37.679500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Gollarapalya Hosahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:37.770496image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:37.875496image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Gottigere
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7207 
1
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Length

2024-05-04T18:41:37.976496image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:38.077497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7207
99.6%
1 32
 
0.4%

Green Glen Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7211 
1
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Length

2024-05-04T18:41:38.185500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:38.281548image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Gubbalala
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:41:38.380500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:38.485496image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Gunjur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7220 
1
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Length

2024-05-04T18:41:38.585496image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:38.680500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

HAL 2nd Stage
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7235 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Length

2024-05-04T18:41:38.797497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:38.906500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

HBR Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:39.050132image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:39.161625image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

HRBR Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:41:39.287230image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:39.406233image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

HSR Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7200 
1
 
39

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Length

2024-05-04T18:41:39.507589image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:39.596309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Haralur Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7121 
1
 
118

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7121
98.4%
1 118
 
1.6%

Length

2024-05-04T18:41:39.678876image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:39.764825image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7121
98.4%
1 118
 
1.6%

Most occurring characters

ValueCountFrequency (%)
0 7121
98.4%
1 118
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7121
98.4%
1 118
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7121
98.4%
1 118
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7121
98.4%
1 118
 
1.6%

Harlur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7180 
1
 
59

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7180
99.2%
1 59
 
0.8%

Length

2024-05-04T18:41:39.852829image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:39.953825image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7180
99.2%
1 59
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0 7180
99.2%
1 59
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7180
99.2%
1 59
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7180
99.2%
1 59
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7180
99.2%
1 59
 
0.8%

Hebbal
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7137 
1
 
102

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7137
98.6%
1 102
 
1.4%

Length

2024-05-04T18:41:40.057824image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:40.166030image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7137
98.6%
1 102
 
1.4%

Most occurring characters

ValueCountFrequency (%)
0 7137
98.6%
1 102
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7137
98.6%
1 102
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7137
98.6%
1 102
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7137
98.6%
1 102
 
1.4%

Hebbal Kempapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7218 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Length

2024-05-04T18:41:40.285030image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:40.391030image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Hegde Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7205 
1
 
34

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7205
99.5%
1 34
 
0.5%

Length

2024-05-04T18:41:40.482273image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:40.578856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7205
99.5%
1 34
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7205
99.5%
1 34
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7205
99.5%
1 34
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7205
99.5%
1 34
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7205
99.5%
1 34
 
0.5%

Hennur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7197 
1
 
42

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Length

2024-05-04T18:41:40.691861image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:40.799863image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring characters

ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Hennur Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7131 
1
 
108

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7131
98.5%
1 108
 
1.5%

Length

2024-05-04T18:41:40.898860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:40.988856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7131
98.5%
1 108
 
1.5%

Most occurring characters

ValueCountFrequency (%)
0 7131
98.5%
1 108
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7131
98.5%
1 108
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7131
98.5%
1 108
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7131
98.5%
1 108
 
1.5%

Hoodi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7202 
1
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Length

2024-05-04T18:41:41.075860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:41.172856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Horamavu Agara
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7211 
1
 
28

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Length

2024-05-04T18:41:41.276856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:41.378858image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7211
99.6%
1 28
 
0.4%

Horamavu Banaswadi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7218 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Length

2024-05-04T18:41:41.486857image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:41.573860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Hormavu
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7191 
1
 
48

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Length

2024-05-04T18:41:41.939147image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:42.027591image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Hosa Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7210 
1
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Length

2024-05-04T18:41:42.113586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:42.197587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Hosakerehalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7220 
1
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Length

2024-05-04T18:41:42.290590image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:42.374763image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Hoskote
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7225 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Length

2024-05-04T18:41:42.470576image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:42.552577image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Hosur Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7218 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Length

2024-05-04T18:41:42.669827image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:42.819635image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7218
99.7%
1 21
 
0.3%

Hulimavu
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7200 
1
 
39

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Length

2024-05-04T18:41:42.975577image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:43.171879image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

ISRO Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:43.367574image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:43.529571image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

ITPL
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:41:43.658628image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:43.777575image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Iblur Village
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7220 
1
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Length

2024-05-04T18:41:43.869624image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:43.971575image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Indira Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7208 
1
 
31

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Length

2024-05-04T18:41:44.085630image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:44.193570image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

JP Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7204 
1
 
35

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7204
99.5%
1 35
 
0.5%

Length

2024-05-04T18:41:44.305571image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:44.413570image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7204
99.5%
1 35
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7204
99.5%
1 35
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7204
99.5%
1 35
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7204
99.5%
1 35
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7204
99.5%
1 35
 
0.5%

Jakkur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7197 
1
 
42

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Length

2024-05-04T18:41:44.535570image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:44.641093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring characters

ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7197
99.4%
1 42
 
0.6%

Jalahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7215 
1
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Length

2024-05-04T18:41:44.743145image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:44.846088image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Jalahalli East
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:41:44.935093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:45.039093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Jigani
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7213 
1
 
26

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Length

2024-05-04T18:41:45.144088image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:45.248092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Judicial Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:45.380141image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:45.499088image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

KR Puram
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7176 
1
 
63

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7176
99.1%
1 63
 
0.9%

Length

2024-05-04T18:41:45.628601image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:45.745605image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7176
99.1%
1 63
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 7176
99.1%
1 63
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7176
99.1%
1 63
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7176
99.1%
1 63
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7176
99.1%
1 63
 
0.9%

Kadubeesanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:45.874604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:46.009600image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Kadugodi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7213 
1
 
26

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Length

2024-05-04T18:41:46.138602image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:46.274602image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Kaggadasapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7201 
1
 
38

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Length

2024-05-04T18:41:46.385604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:46.486600image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Kaggalipura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:46.621604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:46.751599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Kaikondrahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:41:46.894599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:46.990649image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Kalena Agrahara
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7217 
1
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Length

2024-05-04T18:41:47.088598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:47.186600image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Kalyan nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:47.308599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:47.458598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Kambipura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7223 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Length

2024-05-04T18:41:47.567599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:47.668598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Kammanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:47.808599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:47.909604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Kammasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7219 
1
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Length

2024-05-04T18:41:48.010674image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:48.113598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Kanakapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7214 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Length

2024-05-04T18:41:48.246602image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:48.357597image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Kanakpura Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7154 
1
 
85

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7154
98.8%
1 85
 
1.2%

Length

2024-05-04T18:41:48.475598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:48.620599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7154
98.8%
1 85
 
1.2%

Most occurring characters

ValueCountFrequency (%)
0 7154
98.8%
1 85
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7154
98.8%
1 85
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7154
98.8%
1 85
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7154
98.8%
1 85
 
1.2%

Kannamangala
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:41:48.756596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:48.935596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Karuna Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:41:49.146596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:49.298596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Kasavanhalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7186 
1
 
53

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7186
99.3%
1 53
 
0.7%

Length

2024-05-04T18:41:49.572595image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:49.715595image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7186
99.3%
1 53
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 7186
99.3%
1 53
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7186
99.3%
1 53
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7186
99.3%
1 53
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7186
99.3%
1 53
 
0.7%

Kasturi Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:49.862815image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:50.073595image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Kathriguppe
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7220 
1
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Length

2024-05-04T18:41:50.246597image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:50.432599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7220
99.7%
1 19
 
0.3%

Kaval Byrasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7223 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Length

2024-05-04T18:41:50.559669image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:50.721962image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Kenchenahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:41:50.882963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:51.018963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Kengeri
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7206 
1
 
33

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7206
99.5%
1 33
 
0.5%

Length

2024-05-04T18:41:51.201498image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:51.372499image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7206
99.5%
1 33
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7206
99.5%
1 33
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7206
99.5%
1 33
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7206
99.5%
1 33
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7206
99.5%
1 33
 
0.5%

Kengeri Satellite Town
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7214 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Length

2024-05-04T18:41:51.504008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:51.625010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Kereguddadahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:51.741525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:51.892523image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Kodichikkanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7223 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Length

2024-05-04T18:41:52.088520image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:52.285523image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Kodigehaali
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:41:52.463522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:52.669524image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Kodigehalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7233 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Length

2024-05-04T18:41:52.822635image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:52.985758image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Kodihalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:53.198301image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:53.308652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Kogilu
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7219 
1
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Length

2024-05-04T18:41:53.418651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:53.506439image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Konanakunte
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7233 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Length

2024-05-04T18:41:53.620144image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:53.735149image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Koramangala
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7201 
1
 
38

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Length

2024-05-04T18:41:53.846149image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:53.953150image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Kothannur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:54.035144image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:54.130171image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Kothanur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7190 
1
 
49

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7190
99.3%
1 49
 
0.7%

Length

2024-05-04T18:41:54.206849image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:54.285124image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7190
99.3%
1 49
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 7190
99.3%
1 49
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7190
99.3%
1 49
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7190
99.3%
1 49
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7190
99.3%
1 49
 
0.7%

Kudlu
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7216 
1
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Length

2024-05-04T18:41:54.366288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:54.436021image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7216
99.7%
1 23
 
0.3%

Kudlu Gate
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7212 
1
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Length

2024-05-04T18:41:54.529902image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:54.600902image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Kumaraswami Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:54.678902image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:54.769984image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Kundalahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7201 
1
 
38

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Length

2024-05-04T18:41:54.843822image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:55.436333image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

LB Shastri Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:41:55.618773image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:55.839642image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Laggere
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7234 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Length

2024-05-04T18:41:56.010580image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:56.160525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Lakshminarayana Pura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7215 
1
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Length

2024-05-04T18:41:56.290525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:56.395527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Lingadheeranahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7221 
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Length

2024-05-04T18:41:56.507523image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:56.599527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Magadi Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:41:56.721522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:56.835526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Mahadevpura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7219 
1
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Length

2024-05-04T18:41:56.940526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:57.039526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Mahalakshmi Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7234 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Length

2024-05-04T18:41:57.147579image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:57.223522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7234
99.9%
1 5
 
0.1%

Mallasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:41:57.331526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:57.422522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Malleshpalya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:41:57.528522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:57.645526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Malleshwaram
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7202 
1
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Length

2024-05-04T18:41:57.772525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:57.874525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Marathahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7123 
1
 
116

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7123
98.4%
1 116
 
1.6%

Length

2024-05-04T18:41:57.983604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:58.081663image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7123
98.4%
1 116
 
1.6%

Most occurring characters

ValueCountFrequency (%)
0 7123
98.4%
1 116
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7123
98.4%
1 116
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7123
98.4%
1 116
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7123
98.4%
1 116
 
1.6%

Margondanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7225 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Length

2024-05-04T18:41:58.175608image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:58.276608image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Marsur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7236 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7236
> 99.9%
1 3
 
< 0.1%

Length

2024-05-04T18:41:58.362604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:58.455608image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7236
> 99.9%
1 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 7236
> 99.9%
1 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7236
> 99.9%
1 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7236
> 99.9%
1 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7236
> 99.9%
1 3
 
< 0.1%

Mico Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:41:58.557607image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:58.653608image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Munnekollal
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:41:58.761658image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:58.854604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Murugeshpalya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:41:58.965607image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:59.059607image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Mysore Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7213 
1
 
26

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Length

2024-05-04T18:41:59.167602image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:59.252604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

NGR Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:59.348609image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:59.432604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

NRI Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:41:59.547608image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:59.632607image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Nagarbhavi
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7214 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Length

2024-05-04T18:41:59.725606image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:41:59.830608image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7214
99.7%
1 25
 
0.3%

Nagasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7235 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Length

2024-05-04T18:41:59.962606image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:00.067604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Nagavara
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:42:00.198602image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:00.308606image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Nagavarapalya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:42:00.422125image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:00.523078image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Narayanapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:42:00.633129image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:00.731015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Neeladri Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:42:00.867014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:00.979014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Nehru Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:42:01.092062image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:01.186076image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

OMBR Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:42:01.304066image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:01.397014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Old Airport Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7210 
1
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Length

2024-05-04T18:42:01.503009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:01.626015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Old Madras Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7212 
1
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Length

2024-05-04T18:42:01.735013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:01.834013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Padmanabhanagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:42:01.943521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:02.021516image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Pai Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7224 
1
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Length

2024-05-04T18:42:02.119583image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:02.214520image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Panathur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7212 
1
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Length

2024-05-04T18:42:02.327748image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:02.432748image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Parappana Agrahara
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7224 
1
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Length

2024-05-04T18:42:02.577980image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:02.708397image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7224
99.8%
1 15
 
0.2%

Pattandur Agrahara
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:42:02.857402image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:03.002397image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Poorna Pragna Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7233 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Length

2024-05-04T18:42:03.123588image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:03.261589image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Prithvi Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:42:03.417586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:03.551586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

R.T. Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7221 
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Length

2024-05-04T18:42:03.675602image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:03.805605image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7221
99.8%
1 18
 
0.2%

Rachenahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7212 
1
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Length

2024-05-04T18:42:03.941733image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:04.095739image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7212
99.6%
1 27
 
0.4%

Raja Rajeshwari Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7099 
1
 
140

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7099
98.1%
1 140
 
1.9%

Length

2024-05-04T18:42:04.244194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:04.455195image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7099
98.1%
1 140
 
1.9%

Most occurring characters

ValueCountFrequency (%)
0 7099
98.1%
1 140
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7099
98.1%
1 140
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7099
98.1%
1 140
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7099
98.1%
1 140
 
1.9%

Rajaji Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7191 
1
 
48

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Length

2024-05-04T18:42:04.635194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:04.806198image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7191
99.3%
1 48
 
0.7%

Rajiv Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7229 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Length

2024-05-04T18:42:05.028075image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:05.220074image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7229
99.9%
1 10
 
0.1%

Ramagondanahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7201 
1
 
38

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Length

2024-05-04T18:42:05.399184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:05.567180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7201
99.5%
1 38
 
0.5%

Ramamurthy Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7198 
1
 
41

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7198
99.4%
1 41
 
0.6%

Length

2024-05-04T18:42:05.754945image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:05.919945image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7198
99.4%
1 41
 
0.6%

Most occurring characters

ValueCountFrequency (%)
0 7198
99.4%
1 41
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7198
99.4%
1 41
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7198
99.4%
1 41
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7198
99.4%
1 41
 
0.6%

Rayasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7223 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Length

2024-05-04T18:42:06.102172image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:06.258640image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Sahakara Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7210 
1
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Length

2024-05-04T18:42:06.411638image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:06.574929image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Sanjay nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:42:06.720925image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:06.893929image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Sarakki Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:42:07.056926image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:07.217938image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Sarjapur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7182 
1
 
57

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7182
99.2%
1 57
 
0.8%

Length

2024-05-04T18:42:07.362928image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:07.509925image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7182
99.2%
1 57
 
0.8%

Most occurring characters

ValueCountFrequency (%)
0 7182
99.2%
1 57
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7182
99.2%
1 57
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7182
99.2%
1 57
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7182
99.2%
1 57
 
0.8%

Sarjapur Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7053 
1
 
186

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7053
97.4%
1 186
 
2.6%

Length

2024-05-04T18:42:07.671930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:07.833925image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7053
97.4%
1 186
 
2.6%

Most occurring characters

ValueCountFrequency (%)
0 7053
97.4%
1 186
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7053
97.4%
1 186
 
2.6%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7053
97.4%
1 186
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7053
97.4%
1 186
 
2.6%

Sarjapura - Attibele Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7225 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Length

2024-05-04T18:42:07.969924image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:08.085928image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Sector 2 HSR Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:42:08.232924image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:08.395923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Sector 7 HSR Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:42:08.549429image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:08.667433image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Seegehalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7223 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Length

2024-05-04T18:42:08.779181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:08.865353image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7223
99.8%
1 16
 
0.2%

Shampura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7233 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Length

2024-05-04T18:42:08.951138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:09.036412image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Shivaji Nagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7233 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Length

2024-05-04T18:42:09.127413image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:09.210414image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7233
99.9%
1 6
 
0.1%

Singasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7226 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Length

2024-05-04T18:42:09.305413image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:09.403835image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7226
99.8%
1 13
 
0.2%

Somasundara Palya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:42:09.523839image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:09.617214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Sompura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:42:09.710251image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:09.799203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Sonnenahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:42:09.908203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:10.008203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Subramanyapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7217 
1
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Length

2024-05-04T18:42:10.109063image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:10.204062image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Sultan Palaya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7230 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Length

2024-05-04T18:42:10.299071image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:10.392061image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7230
99.9%
1 9
 
0.1%

TC Palaya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7215 
1
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Length

2024-05-04T18:42:10.507066image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:10.600062image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Talaghattapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7213 
1
 
26

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Length

2024-05-04T18:42:10.699151image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:10.778717image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Thanisandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7133 
1
 
106

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7133
98.5%
1 106
 
1.5%

Length

2024-05-04T18:42:11.356060image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:11.450014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7133
98.5%
1 106
 
1.5%

Most occurring characters

ValueCountFrequency (%)
0 7133
98.5%
1 106
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7133
98.5%
1 106
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7133
98.5%
1 106
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7133
98.5%
1 106
 
1.5%

Thigalarapalya
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7213 
1
 
26

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Length

2024-05-04T18:42:11.555014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:11.654014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7213
99.6%
1 26
 
0.4%

Thubarahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7225 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Length

2024-05-04T18:42:11.779011image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:11.910014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7225
99.8%
1 14
 
0.2%

Tindlu
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:42:12.070009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:12.240014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Tumkur Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7219 
1
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Length

2024-05-04T18:42:12.479012image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:12.656016image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7219
99.7%
1 20
 
0.3%

Ulsoor
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7227 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Length

2024-05-04T18:42:12.792009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:12.910069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7227
99.8%
1 12
 
0.2%

Uttarahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7119 
1
 
120

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7119
98.3%
1 120
 
1.7%

Length

2024-05-04T18:42:13.026012image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:13.140013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7119
98.3%
1 120
 
1.7%

Most occurring characters

ValueCountFrequency (%)
0 7119
98.3%
1 120
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7119
98.3%
1 120
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7119
98.3%
1 120
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7119
98.3%
1 120
 
1.7%

Varthur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7200 
1
 
39

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Length

2024-05-04T18:42:13.236008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:13.331068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7200
99.5%
1 39
 
0.5%

Varthur Road
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:42:13.444008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:13.537012image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Vasanthapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7232 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Length

2024-05-04T18:42:13.638008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:13.736008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7232
99.9%
1 7
 
0.1%

Vidyaranyapura
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7217 
1
 
22

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Length

2024-05-04T18:42:13.857012image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:13.946007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7217
99.7%
1 22
 
0.3%

Vijayanagar
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7210 
1
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Length

2024-05-04T18:42:14.037059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:14.128008image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7210
99.6%
1 29
 
0.4%

Vishveshwarya Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7235 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Length

2024-05-04T18:42:14.228011image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:14.337084image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Vishwapriya Layout
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7235 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Length

2024-05-04T18:42:14.430007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:14.533007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7235
99.9%
1 4
 
0.1%

Vittasandra
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7208 
1
 
31

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Length

2024-05-04T18:42:14.640010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:14.733011image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7208
99.6%
1 31
 
0.4%

Whitefield
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7001 
1
 
238

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7001
96.7%
1 238
 
3.3%

Length

2024-05-04T18:42:14.831062image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:14.918010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7001
96.7%
1 238
 
3.3%

Most occurring characters

ValueCountFrequency (%)
0 7001
96.7%
1 238
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7001
96.7%
1 238
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7001
96.7%
1 238
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7001
96.7%
1 238
 
3.3%

Yelachenahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7228 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Length

2024-05-04T18:42:15.028011image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:15.136007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7228
99.8%
1 11
 
0.2%

Yelahanka
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7153 
1
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Length

2024-05-04T18:42:15.227056image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:15.331005image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Most occurring characters

ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7153
98.8%
1 86
 
1.2%

Yelahanka New Town
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7215 
1
 
24

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Length

2024-05-04T18:42:15.433009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:15.530007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7215
99.7%
1 24
 
0.3%

Yelenahalli
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7231 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Length

2024-05-04T18:42:15.640005image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:15.759009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7231
99.9%
1 8
 
0.1%

Yeshwanthpur
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size113.1 KiB
0
7202 
1
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7239
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Length

2024-05-04T18:42:15.866004image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T18:42:15.976006image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7239
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Common 7239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7202
99.5%
1 37
 
0.5%

Interactions

2024-05-04T18:41:12.426772image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:11.496518image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:11.841560image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.153169image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.505800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:11.578521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:11.924118image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.224165image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.574800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:11.659521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.011220image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.291164image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.644795image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:11.735525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.076120image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-05-04T18:41:12.356244image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-05-04T18:42:16.426006image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
1st Block Jayanagar1st Phase JP Nagar2nd Phase Judicial Layout2nd Stage Nagarbhavi5th Block Hbr Layout5th Phase JP Nagar6th Phase JP Nagar7th Phase JP Nagar8th Phase JP Nagar9th Phase JP NagarAECS LayoutAbbigereAkshaya NagarAmbalipuraAmbedkar NagarAmruthahalliAnandapuraAnanth NagarAnekalAnjanapuraArdendaleArekereAttibeleBEML LayoutBTM 2nd StageBTM LayoutBabusapalayaBadavala NagarBalagereBanashankariBanashankari Stage IIBanashankari Stage IIIBanashankari Stage VBanashankari Stage VIBanaswadiBanjara LayoutBannerghattaBannerghatta RoadBasavangudiBasaveshwara NagarBattarahalliBegurBegur RoadBellandurBenson TownBharathi NagarBhoganhalliBillekahalliBinny PeteBisuvanahalliBommanahalliBommasandraBommasandra Industrial AreaBommenahalliBrookefieldBudigereCV Raman NagarChamrajpetChandapuraChannasandraChikka TirupathiChikkabanavarChikkalasandraChoodasandraCooke TownCox TownCunningham RoadDasanapuraDasarahalliDevanahalliDevarachikkanahalliDodda NekkundiDoddaballapurDoddakallasandraDoddathoguruDomlurDommasandraEPIP ZoneElectronic CityElectronic City Phase IIElectronics City Phase 1Frazer TownGM PalayaGarudachar PalyaGiri NagarGollarapalya HosahalliGottigereGreen Glen LayoutGubbalalaGunjurHAL 2nd StageHBR LayoutHRBR LayoutHSR LayoutHaralur RoadHarlurHebbalHebbal KempapuraHegde NagarHennurHennur RoadHoodiHoramavu AgaraHoramavu BanaswadiHormavuHosa RoadHosakerehalliHoskoteHosur RoadHulimavuISRO LayoutITPLIblur VillageIndira NagarJP NagarJakkurJalahalliJalahalli EastJiganiJudicial LayoutKR PuramKadubeesanahalliKadugodiKaggadasapuraKaggalipuraKaikondrahalliKalena AgraharaKalyan nagarKambipuraKammanahalliKammasandraKanakapuraKanakpura RoadKannamangalaKaruna NagarKasavanhalliKasturi NagarKathriguppeKaval ByrasandraKenchenahalliKengeriKengeri Satellite TownKereguddadahalliKodichikkanahalliKodigehaaliKodigehalliKodihalliKogiluKonanakunteKoramangalaKothannurKothanurKudluKudlu GateKumaraswami LayoutKundalahalliLB Shastri NagarLaggereLakshminarayana PuraLingadheeranahalliMagadi RoadMahadevpuraMahalakshmi LayoutMallasandraMalleshpalyaMalleshwaramMarathahalliMargondanahalliMarsurMico LayoutMunnekollalMurugeshpalyaMysore RoadNGR LayoutNRI LayoutNagarbhaviNagasandraNagavaraNagavarapalyaNarayanapuraNeeladri NagarNehru NagarOMBR LayoutOld Airport RoadOld Madras RoadPadmanabhanagarPai LayoutPanathurParappana AgraharaPattandur AgraharaPoorna Pragna LayoutPrithvi LayoutR.T. NagarRachenahalliRaja Rajeshwari NagarRajaji NagarRajiv NagarRamagondanahalliRamamurthy NagarRayasandraSahakara NagarSanjay nagarSarakki NagarSarjapurSarjapur RoadSarjapura - Attibele RoadSector 2 HSR LayoutSector 7 HSR LayoutSeegehalliShampuraShivaji NagarSingasandraSomasundara PalyaSompuraSonnenahalliSubramanyapuraSultan PalayaTC PalayaTalaghattapuraThanisandraThigalarapalyaThubarahalliTindluTumkur RoadUlsoorUttarahalliVarthurVarthur RoadVasanthapuraVidyaranyapuraVijayanagarVishveshwarya LayoutVishwapriya LayoutVittasandraWhitefieldYelachenahalliYelahankaYelahanka New TownYelenahalliYeshwanthpurbathbhkpricetotal_sqft
1st Block Jayanagar1.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0320.0460.027
1st Phase JP Nagar0.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0010.0360.014
2nd Phase Judicial Layout0.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0100.011-0.032-0.001
2nd Stage Nagarbhavi0.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0400.0350.007
5th Block Hbr Layout0.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0130.0050.013
5th Phase JP Nagar0.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.021-0.021-0.022-0.018
6th Phase JP Nagar0.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0030.0230.016
7th Phase JP Nagar0.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0020.0140.0440.006
8th Phase JP Nagar0.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.010-0.017-0.043-0.022
9th Phase JP Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.017-0.019-0.031-0.024
AECS Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.016-0.021-0.021-0.022
Abbigere0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.012-0.019-0.054-0.041
Akshaya Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0220.0020.028
Ambalipura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.014-0.0120.0110.005
Ambedkar Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0690.0400.0600.066
Amruthahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.018-0.018-0.018-0.015
Anandapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.019-0.017-0.036-0.020
Ananth Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.032-0.042-0.091-0.069
Anekal0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.043-0.031-0.073-0.061
Anjanapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.005-0.035-0.014
Ardendale0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0500.0500.0370.050
Arekere0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.012-0.011-0.015-0.013
Attibele0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.066-0.065-0.087-0.075
BEML Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.006-0.0100.002-0.002
BTM 2nd Stage0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0050.0160.003
BTM Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0080.013-0.0020.002
Babusapalaya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.014-0.011-0.040-0.011
Badavala Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0200.0240.025
Balagere0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.058-0.064-0.027-0.061
Banashankari0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.014-0.012-0.0010.005
Banashankari Stage II0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0060.0270.0470.024
Banashankari Stage III0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0340.0060.018
Banashankari Stage V0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.025-0.0350.007
Banashankari Stage VI0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0280.0120.023
Banaswadi0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.017-0.023-0.017-0.016
Banjara Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.010-0.0070.002-0.008
Bannerghatta0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0040.0200.007
Bannerghatta Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.000-0.010-0.004-0.010-0.005
Basavangudi0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0010.0040.0420.007
Basaveshwara Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0080.0250.012
Battarahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.001-0.0080.015
Begur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.021-0.0110.012
Begur Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.028-0.015-0.084-0.006
Bellandur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.000-0.009-0.022-0.013-0.009
Benson Town0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0070.0500.036
Bharathi Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.017-0.022-0.0090.010
Bhoganhalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0090.0270.034
Billekahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.001-0.0070.007-0.005
Binny Pete0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.002-0.0050.0200.003
Bisuvanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0360.021-0.081-0.071
Bommanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.009-0.014-0.029-0.018
Bommasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.006-0.010-0.073-0.045
Bommasandra Industrial Area0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.022-0.018-0.064-0.029
Bommenahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0380.0510.0400.023
Brookefield0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0010.0170.005
Budigere0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.012-0.024-0.023-0.015
CV Raman Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.025-0.025-0.022-0.024
Chamrajpet0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0150.0040.019-0.010
Chandapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.000-0.091-0.072-0.147-0.113
Channasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.015-0.015-0.068-0.041
Chikka Tirupathi0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0620.0550.0350.058
Chikkabanavar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.022-0.0160.006
Chikkalasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.027-0.026-0.030-0.019
Choodasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.004-0.005-0.018-0.011
Cooke Town0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0300.0200.0500.037
Cox Town0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0010.0260.006
Cunningham Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0410.0350.0610.058
Dasanapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.028-0.022-0.038-0.042
Dasarahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.009-0.014-0.0030.005
Devanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.021-0.027-0.027-0.018
Devarachikkanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.021-0.017-0.033-0.016
Dodda Nekkundi0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.015-0.017-0.029-0.011
Doddaballapur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0320.0320.0340.036
Doddakallasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.015-0.019-0.036-0.031
Doddathoguru0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.018-0.025-0.065-0.045
Domlur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0150.0450.025
Dommasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.012-0.010-0.044-0.020
EPIP Zone0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0050.0320.028
Electronic City0.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0080.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0040.0000.0000.000-0.056-0.044-0.067-0.067
Electronic City Phase II0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0061.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.000-0.041-0.041-0.122-0.072
Electronics City Phase 10.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.035-0.033-0.042-0.037
Frazer Town0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0480.0400.0810.061
GM Palaya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.017-0.0110.012
Garudachar Palya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.023-0.005-0.030-0.018
Giri Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0460.0470.0510.040
Gollarapalya Hosahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.013-0.028-0.009
Gottigere0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.010-0.006-0.045-0.014
Green Glen Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0550.0520.0520.052
Gubbalala0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0190.0120.021
Gunjur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.005-0.002-0.033-0.001
HAL 2nd Stage0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0180.0370.010
HBR Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0180.0210.010
HRBR Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.003-0.0070.0210.012
HSR Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.018-0.027-0.031-0.015
Haralur Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.000-0.015-0.023-0.0410.007
Harlur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0260.0120.0510.034
Hebbal0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0530.0500.0950.071
Hebbal Kempapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0490.0420.0710.053
Hegde Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0510.0560.054
Hennur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.026-0.032-0.040-0.003
Hennur Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0170.0170.0390.032
Hoodi0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.014-0.0210.0030.000
Horamavu Agara0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.014-0.014-0.056-0.035
Horamavu Banaswadi0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.024-0.032-0.045-0.012
Hormavu0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.032-0.041-0.052-0.034
Hosa Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.024-0.020-0.024-0.022
Hosakerehalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0510.0430.0520.039
Hoskote0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.007-0.003-0.053-0.027
Hosur Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0130.0170.018
Hulimavu0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.029-0.027-0.021-0.023
ISRO Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0110.0040.000
ITPL0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.032-0.0010.008
Iblur Village0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0770.0650.0710.075
Indira Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0200.0780.034
JP Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.014-0.0090.001-0.003
Jakkur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0080.0440.041
Jalahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.011-0.0170.011-0.009
Jalahalli East0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.027-0.016-0.025-0.028
Jigani0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.004-0.015-0.035-0.054
Judicial Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0270.0140.013
KR Puram0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.000-0.026-0.035-0.065-0.039
Kadubeesanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0010.0050.0040.006
Kadugodi0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0070.0090.021
Kaggadasapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.020-0.011-0.050-0.017
Kaggalipura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.033-0.031-0.035-0.048
Kaikondrahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0140.0090.009
Kalena Agrahara0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.008-0.008-0.021-0.006
Kalyan nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0020.0010.003
Kambipura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.024-0.018-0.055-0.062
Kammanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0040.0160.003
Kammasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.029-0.029-0.072-0.051
Kanakapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.021-0.017-0.029-0.016
Kanakpura Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.000-0.024-0.022-0.040-0.033
Kannamangala0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0130.006-0.004
Karuna Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0220.0300.027
Kasavanhalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0030.0260.023
Kasturi Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0040.0130.003
Kathriguppe0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0430.0070.011
Kaval Byrasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.019-0.026-0.037-0.034
Kenchenahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.028-0.023-0.023-0.030
Kengeri0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.042-0.045-0.069-0.066
Kengeri Satellite Town0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.042-0.040-0.071-0.060
Kereguddadahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.018-0.017-0.055-0.037
Kodichikkanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.017-0.009-0.032-0.023
Kodigehaali0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.003-0.004-0.018-0.012
Kodigehalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.009-0.009-0.000-0.012
Kodihalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0510.0350.0530.048
Kogilu0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.014-0.021-0.028-0.017
Konanakunte0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0030.0260.0230.007
Koramangala0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0010.0850.036
Kothannur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.018-0.005-0.035-0.011
Kothanur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0040.0010.015
Kudlu0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.024-0.027-0.049-0.040
Kudlu Gate0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.005-0.004-0.0040.006
Kumaraswami Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0290.0170.014
Kundalahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0310.0190.0410.008
LB Shastri Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.023-0.022-0.020-0.019
Laggere0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.001-0.0080.012-0.005
Lakshminarayana Pura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.026-0.0310.012-0.017
Lingadheeranahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0610.0520.0440.047
Magadi Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0060.006-0.014-0.015
Mahadevpura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.018-0.009-0.022-0.002
Mahalakshmi Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0240.0260.003
Mallasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.005-0.006-0.0070.003
Malleshpalya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.021-0.017-0.026-0.010
Malleshwaram0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0090.0780.030
Marathahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.003-0.0130.0050.002
Margondanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.027-0.030-0.022-0.030
Marsur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0240.0180.003
Mico Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.009-0.002-0.030-0.003
Munnekollal0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.005-0.000-0.022-0.011
Murugeshpalya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0130.0000.018
Mysore Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.022-0.026-0.035-0.043
NGR Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.017-0.022-0.035-0.036
NRI Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0180.0080.026
Nagarbhavi0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.011-0.019-0.004-0.023
Nagasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0070.0080.010
Nagavara0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.002-0.002-0.0070.002
Nagavarapalya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.032-0.034-0.002-0.022
Narayanapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0040.0190.022
Neeladri Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.022-0.021-0.037-0.020
Nehru Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0260.0040.016
OMBR Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.001-0.0070.009-0.006
Old Airport Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0630.0680.060
Old Madras Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.002-0.0030.0110.008
Padmanabhanagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.002-0.0030.0160.001
Pai Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.016-0.009-0.029-0.016
Panathur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.027-0.0370.000-0.022
Parappana Agrahara0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.027-0.034-0.048-0.020
Pattandur Agrahara0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.017-0.009-0.013-0.003
Poorna Pragna Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.015-0.019-0.030-0.027
Prithvi Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.014-0.0020.0220.021
R.T. Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0020.015-0.009
Rachenahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.028-0.036-0.039-0.049
Raja Rajeshwari Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0040.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.000-0.042-0.039-0.095-0.024
Rajaji Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0550.0440.1250.077
Rajiv Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0390.0340.0360.037
Ramagondanahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.007-0.004-0.0060.012
Ramamurthy Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.017-0.030-0.040-0.034
Rayasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.018-0.0220.004
Sahakara Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.014-0.006-0.005-0.013
Sanjay nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.010-0.0050.014-0.008
Sarakki Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0290.0460.035
Sarjapur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.000-0.015-0.011-0.066-0.025
Sarjapur Road0.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0100.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0070.0000.0000.0000.0550.0480.0810.068
Sarjapura - Attibele Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0070.002-0.045-0.005
Sector 2 HSR Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.002-0.0070.0060.002
Sector 7 HSR Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0160.0450.027
Seegehalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.006-0.0090.002
Shampura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.015-0.0040.008
Shivaji Nagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.019-0.0170.007-0.008
Singasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.011-0.013-0.019-0.005
Somasundara Palya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.003-0.0070.0040.007
Sompura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.0100.007-0.037-0.016
Sonnenahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.013-0.013-0.029-0.017
Subramanyapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.020-0.005-0.021-0.028
Sultan Palaya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0040.001-0.004
TC Palaya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.025-0.028-0.012-0.024
Talaghattapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0500.0400.0460.055
Thanisandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.013-0.0040.0230.009
Thigalarapalya0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0050.0610.049
Thubarahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.006-0.0120.010-0.005
Tindlu0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0150.0010.005
Tumkur Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0150.013-0.004
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Varthur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.025-0.029-0.052-0.032
Varthur Road0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.017-0.016-0.036-0.023
Vasanthapura0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.016-0.021-0.044-0.034
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Vijayanagar0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.000-0.001-0.0010.014-0.000
Vishveshwarya Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.021-0.0030.014
Vishwapriya Layout0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.000-0.012-0.016-0.035-0.034
Vittasandra0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.000-0.034-0.044-0.0120.005
Whitefield0.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0040.0150.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0030.0250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0120.0000.0000.0000.0810.0650.1090.096
Yelachenahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.000-0.018-0.004-0.003-0.004
Yelahanka0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0001.0000.0000.0000.0000.006-0.0000.0120.021
Yelahanka New Town0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.000-0.052-0.047-0.046-0.043
Yelenahalli0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.000-0.010-0.016-0.030-0.005
Yeshwanthpur0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000-0.022-0.0320.001-0.017
bath0.0210.013-0.0100.0360.008-0.0210.0040.002-0.010-0.017-0.016-0.0120.013-0.0140.069-0.018-0.019-0.032-0.0430.0050.050-0.012-0.066-0.0060.000-0.008-0.0140.007-0.058-0.014-0.0060.0020.0080.017-0.0170.0100.012-0.0100.0010.0120.0090.003-0.028-0.0090.024-0.0170.017-0.001-0.002-0.036-0.009-0.006-0.0220.0380.007-0.012-0.025-0.015-0.091-0.0150.0620.006-0.027-0.0040.0300.0070.041-0.028-0.009-0.021-0.021-0.0150.032-0.015-0.0180.018-0.0120.014-0.056-0.041-0.0350.0480.003-0.0230.0460.017-0.0100.0550.014-0.0050.0200.019-0.003-0.018-0.0150.0260.0530.0490.063-0.0260.017-0.014-0.014-0.024-0.032-0.0240.051-0.0070.007-0.0290.0020.0370.0770.029-0.0140.015-0.011-0.027-0.0040.024-0.026-0.0010.009-0.020-0.0330.019-0.0080.009-0.0240.007-0.029-0.021-0.0240.0180.0200.0150.0070.004-0.019-0.028-0.042-0.042-0.018-0.0170.003-0.0090.051-0.014-0.0030.013-0.0180.011-0.0240.0050.0160.031-0.0230.001-0.0260.061-0.006-0.0180.016-0.005-0.0210.0260.003-0.0270.026-0.009-0.0050.003-0.022-0.0170.015-0.0110.0100.002-0.0320.009-0.0220.023-0.0010.063-0.002-0.002-0.016-0.027-0.027-0.017-0.0150.0140.014-0.028-0.0420.0550.039-0.007-0.0170.003-0.014-0.0100.047-0.0150.055-0.007-0.0020.0170.0100.013-0.019-0.011-0.003-0.010-0.013-0.0200.010-0.0250.0500.0130.026-0.0060.0060.0020.014-0.052-0.025-0.017-0.016-0.017-0.0010.017-0.012-0.0340.081-0.0180.006-0.052-0.010-0.0221.0000.8660.7400.797
bhk0.0320.0010.0110.0400.013-0.0210.0030.014-0.017-0.019-0.021-0.0190.022-0.0120.040-0.018-0.017-0.042-0.0310.0050.050-0.011-0.065-0.010-0.0050.013-0.0110.020-0.064-0.0120.0270.0340.0250.028-0.023-0.0070.004-0.0040.0040.0080.0010.021-0.015-0.0220.007-0.0220.009-0.007-0.0050.021-0.014-0.010-0.0180.0510.001-0.024-0.0250.004-0.072-0.0150.0550.022-0.026-0.0050.0200.0010.035-0.022-0.014-0.027-0.017-0.0170.032-0.019-0.0250.015-0.0100.005-0.044-0.041-0.0330.0400.017-0.0050.0470.013-0.0060.0520.019-0.0020.0180.018-0.007-0.027-0.0230.0120.0500.0420.051-0.0320.017-0.021-0.014-0.032-0.041-0.0200.043-0.0030.013-0.0270.0110.0320.0650.020-0.0090.008-0.017-0.016-0.0150.027-0.0350.0050.007-0.011-0.0310.014-0.0080.002-0.0180.004-0.029-0.017-0.0220.0130.0220.0030.0040.043-0.026-0.023-0.045-0.040-0.017-0.009-0.004-0.0090.035-0.0210.0260.001-0.0050.004-0.027-0.0040.0290.019-0.022-0.008-0.0310.0520.006-0.0090.024-0.006-0.0170.009-0.013-0.0300.024-0.002-0.0000.013-0.026-0.0220.018-0.0190.007-0.002-0.0340.004-0.0210.026-0.0070.063-0.003-0.003-0.009-0.037-0.034-0.009-0.019-0.0020.002-0.036-0.0390.0440.034-0.004-0.0300.018-0.006-0.0050.029-0.0110.0480.002-0.0070.0160.0060.015-0.017-0.013-0.0070.007-0.013-0.0050.004-0.0280.040-0.0040.005-0.0120.0150.0150.010-0.012-0.029-0.016-0.021-0.009-0.0010.021-0.016-0.0440.065-0.004-0.000-0.047-0.016-0.0320.8661.0000.7440.818
price0.0460.036-0.0320.0350.005-0.0220.0230.044-0.043-0.031-0.021-0.0540.0020.0110.060-0.018-0.036-0.091-0.073-0.0350.037-0.015-0.0870.0020.016-0.002-0.0400.024-0.027-0.0010.0470.006-0.0350.012-0.0170.0020.020-0.0100.0420.025-0.008-0.011-0.084-0.0130.050-0.0090.0270.0070.020-0.081-0.029-0.073-0.0640.0400.017-0.023-0.0220.019-0.147-0.0680.035-0.016-0.030-0.0180.0500.0260.061-0.038-0.003-0.027-0.033-0.0290.034-0.036-0.0650.045-0.0440.032-0.067-0.122-0.0420.081-0.011-0.0300.051-0.028-0.0450.0520.012-0.0330.0370.0210.021-0.031-0.0410.0510.0950.0710.056-0.0400.0390.003-0.056-0.045-0.052-0.0240.052-0.0530.017-0.0210.004-0.0010.0710.0780.0010.0440.011-0.025-0.0350.014-0.0650.0040.009-0.050-0.0350.009-0.0210.001-0.0550.016-0.072-0.029-0.0400.0060.0300.0260.0130.007-0.037-0.023-0.069-0.071-0.055-0.032-0.018-0.0000.053-0.0280.0230.085-0.0350.001-0.049-0.0040.0170.041-0.0200.0120.0120.044-0.014-0.0220.026-0.007-0.0260.0780.005-0.0220.018-0.030-0.0220.000-0.035-0.0350.008-0.0040.008-0.007-0.0020.019-0.0370.0040.0090.0680.0110.016-0.0290.000-0.048-0.013-0.0300.0220.015-0.039-0.0950.1250.036-0.006-0.040-0.022-0.0050.0140.046-0.0660.081-0.0450.0060.045-0.009-0.0040.007-0.0190.004-0.037-0.029-0.0210.001-0.0120.0460.0230.0610.0100.0010.0130.039-0.105-0.052-0.036-0.044-0.0280.014-0.003-0.035-0.0120.109-0.0030.012-0.046-0.0300.0010.7400.7441.0000.863
total_sqft0.0270.014-0.0010.0070.013-0.0180.0160.006-0.022-0.024-0.022-0.0410.0280.0050.066-0.015-0.020-0.069-0.061-0.0140.050-0.013-0.075-0.0020.0030.002-0.0110.025-0.0610.0050.0240.0180.0070.023-0.016-0.0080.007-0.0050.0070.0120.0150.012-0.006-0.0090.0360.0100.034-0.0050.003-0.071-0.018-0.045-0.0290.0230.005-0.015-0.024-0.010-0.113-0.0410.0580.006-0.019-0.0110.0370.0060.058-0.0420.005-0.018-0.016-0.0110.036-0.031-0.0450.025-0.0200.028-0.067-0.072-0.0370.0610.012-0.0180.040-0.009-0.0140.0520.021-0.0010.0100.0100.012-0.0150.0070.0340.0710.0530.054-0.0030.0320.000-0.035-0.012-0.034-0.0220.039-0.0270.018-0.0230.0000.0080.0750.034-0.0030.041-0.009-0.028-0.0540.013-0.0390.0060.021-0.017-0.0480.009-0.0060.003-0.0620.003-0.051-0.016-0.033-0.0040.0270.0230.0030.011-0.034-0.030-0.066-0.060-0.037-0.023-0.012-0.0120.048-0.0170.0070.036-0.0110.015-0.0400.0060.0140.008-0.019-0.005-0.0170.047-0.015-0.0020.0030.003-0.0100.0300.002-0.0300.003-0.003-0.0110.018-0.043-0.0360.026-0.0230.0100.002-0.0220.022-0.0200.016-0.0060.0600.0080.001-0.016-0.022-0.020-0.003-0.0270.021-0.009-0.049-0.0240.0770.0370.012-0.0340.004-0.013-0.0080.035-0.0250.068-0.0050.0020.0270.0020.008-0.008-0.0050.007-0.016-0.017-0.028-0.004-0.0240.0550.0090.049-0.0050.005-0.0040.011-0.042-0.032-0.023-0.034-0.027-0.0000.014-0.0340.0050.096-0.0040.021-0.043-0.005-0.0170.7970.8180.8631.000

Missing values

2024-05-04T18:41:13.346836image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T18:41:14.393203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

total_sqftbathpricebhk1st Block Jayanagar1st Phase JP Nagar2nd Phase Judicial Layout2nd Stage Nagarbhavi5th Block Hbr Layout5th Phase JP Nagar6th Phase JP Nagar7th Phase JP Nagar8th Phase JP Nagar9th Phase JP NagarAECS LayoutAbbigereAkshaya NagarAmbalipuraAmbedkar NagarAmruthahalliAnandapuraAnanth NagarAnekalAnjanapuraArdendaleArekereAttibeleBEML LayoutBTM 2nd StageBTM LayoutBabusapalayaBadavala NagarBalagereBanashankariBanashankari Stage IIBanashankari Stage IIIBanashankari Stage VBanashankari Stage VIBanaswadiBanjara LayoutBannerghattaBannerghatta RoadBasavangudiBasaveshwara NagarBattarahalliBegurBegur RoadBellandurBenson TownBharathi NagarBhoganhalliBillekahalliBinny PeteBisuvanahalliBommanahalliBommasandraBommasandra Industrial AreaBommenahalliBrookefieldBudigereCV Raman NagarChamrajpetChandapuraChannasandraChikka TirupathiChikkabanavarChikkalasandraChoodasandraCooke TownCox TownCunningham RoadDasanapuraDasarahalliDevanahalliDevarachikkanahalliDodda NekkundiDoddaballapurDoddakallasandraDoddathoguruDomlurDommasandraEPIP ZoneElectronic CityElectronic City Phase IIElectronics City Phase 1Frazer TownGM PalayaGarudachar PalyaGiri NagarGollarapalya HosahalliGottigereGreen Glen LayoutGubbalalaGunjurHAL 2nd StageHBR LayoutHRBR LayoutHSR LayoutHaralur RoadHarlurHebbalHebbal KempapuraHegde NagarHennurHennur RoadHoodiHoramavu AgaraHoramavu BanaswadiHormavuHosa RoadHosakerehalliHoskoteHosur RoadHulimavuISRO LayoutITPLIblur VillageIndira NagarJP NagarJakkurJalahalliJalahalli EastJiganiJudicial LayoutKR PuramKadubeesanahalliKadugodiKaggadasapuraKaggalipuraKaikondrahalliKalena AgraharaKalyan nagarKambipuraKammanahalliKammasandraKanakapuraKanakpura RoadKannamangalaKaruna NagarKasavanhalliKasturi NagarKathriguppeKaval ByrasandraKenchenahalliKengeriKengeri Satellite TownKereguddadahalliKodichikkanahalliKodigehaaliKodigehalliKodihalliKogiluKonanakunteKoramangalaKothannurKothanurKudluKudlu GateKumaraswami LayoutKundalahalliLB Shastri NagarLaggereLakshminarayana PuraLingadheeranahalliMagadi RoadMahadevpuraMahalakshmi LayoutMallasandraMalleshpalyaMalleshwaramMarathahalliMargondanahalliMarsurMico LayoutMunnekollalMurugeshpalyaMysore RoadNGR LayoutNRI LayoutNagarbhaviNagasandraNagavaraNagavarapalyaNarayanapuraNeeladri NagarNehru NagarOMBR LayoutOld Airport RoadOld Madras RoadPadmanabhanagarPai LayoutPanathurParappana AgraharaPattandur AgraharaPoorna Pragna LayoutPrithvi LayoutR.T. NagarRachenahalliRaja Rajeshwari NagarRajaji NagarRajiv NagarRamagondanahalliRamamurthy NagarRayasandraSahakara NagarSanjay nagarSarakki NagarSarjapurSarjapur RoadSarjapura - Attibele RoadSector 2 HSR LayoutSector 7 HSR LayoutSeegehalliShampuraShivaji NagarSingasandraSomasundara PalyaSompuraSonnenahalliSubramanyapuraSultan PalayaTC PalayaTalaghattapuraThanisandraThigalarapalyaThubarahalliTindluTumkur RoadUlsoorUttarahalliVarthurVarthur RoadVasanthapuraVidyaranyapuraVijayanagarVishveshwarya LayoutVishwapriya LayoutVittasandraWhitefieldYelachenahalliYelahankaYelahanka New TownYelenahalliYeshwanthpur
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